Systems and Methods for Intelligent Steganographic Protection

3. The system of claim 1, wherein the multiple convolutional neural network layers further comprise batch normalization to normalize a scale of the encoded image and reduce internal covariance shift between the multiple convolutional neural network layers.

4. The system of claim 1, wherein the multiple convolutional neural network layers further comprise using one or more linear-activation functions.

5. The system of claim 1, wherein embedding the steganographic layer containing randomized portions of the secret image further comprises applying multiple hidden convolutional layers during encoding and wherein the hidden layers are applied between at least two separate convolutional neural network layers.

9. The computer program product of claim 7, wherein the multiple convolutional neural network layers further comprise batch normalization to normalize a scale of the encoded image and reduce internal covariance shift between the multiple convolutional neural network layers.

10. The computer program product of claim 7, wherein the multiple convolutional neural network layers further comprise using one or more linear-activation functions.

11. The computer program product of claim 7, wherein embedding the steganographic layer containing randomized portions of the secret image further comprises applying multiple hidden convolutional layers during encoding and wherein the hidden layers are applied between at least two separate convolutional neural network layers.

15. The computer-implemented method of claim 13, wherein the multiple convolutional neural network layers further comprise batch normalization to normalize a scale of the encoded image and reduce internal covariance shift between the multiple convolutional neural network layers.

16. The computer-implemented method of claim 13, wherein the multiple convolutional neural network layers further comprise using one or more linear-activation functions.